Bölüm "FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" Araştırma Çıktıları / Research Outputs için listeleme
Toplam kayıt 111, listelenen: 1-20
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An Adaptive Feature Extraction Method for Classification of Covid-19 X-Ray Images
(Springer Science and Business Media Deutschland GmbH, 2022)This study aims to detect Covid-19 disease in the fastest and most accurate way from X-ray images by developing a new feature extraction method and deep learning model . Partitioned Tridiagonal Enhanced Multivariance ... -
Akıllı Nesneler İçin Fiziksel Saldırı Tespiti
(IEEE, 2018)Nesnelerin İnterneti akıllı Dünya vizyonuyla hayatın her alanında yeni ürün ve hizmetleriyle girmektedir. Geleneksel diğer bilinen cihazların aksine akıllı nesneler evde, işte veya sokakta hayatın içerisinde karşımıza ... -
An Application of Artificial Neural Networks for Solving Fractional Higher-order Linear Integro-differential Equations
(Springer Nature, 2023)This ongoing work is vehemently dedicated to the investigation of a class of ordinary linear Volterra type integro-differential equations with fractional order in numerical mode. By replacing the unknown function by an ... -
AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis
(University of Bahrain, 2022)In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for manipulating a specific language. Little number of datasets has been collected for detecting sentiments ... -
Az Örnekle Öğrenme Problemleri için MAML ve ProtoNet Algoritmalarının İncelenmesi
(Osman Sağdıç, 2021)Derin sinir ağları ile özellikle görüntü veri kümeleri üzerinde çok başarılı sonuçlar elde edilmektedir. Ancak bu başarının arkasında büyük ölçekli etiketli veri kümeleri yatmaktadır. Derin öğrenme ağlarının özelleşmiş ... -
Az Örnekli Öğrenme ile Mikroskobik Görüntülerden Maya Hücresi Segmentasyonu
(IEEE, 2021)Mikroskobik görüntülerden otomatik hücre segmentasyonu, derin sinir ağları veya görüntü işleme teknikleri kullanılarak yapılabilmektedir. Bu tekniklerin ayrı ayrı problemleri ve zorlukları bulunmakla birlikte özellikle ... -
BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
(IEEE, 2023)Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ... -
Bazı Tahribatsız Test Yöntemleri: Karşılaştırmalı Bir Derleme Çalışması
(Marmara Üniversitesi, 2017)Bu çalışmada, materyallerin kusur analizini gerçekleştirerek güvenli materyal kullanımı sağlayan tahribatsız test yöntemleri incelenmektedir. Tahribatsız test işleminde kullanılacak yöntemin, çalışma şartları açısından ... -
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
(Hindawi Limited., 2022)The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and ... -
Beyin Tümörlerinin Görüntü İşleme Teknikleri Kullanılarak Bilgisayar Destekli Tespiti
(Institute of Electrical and Electronics Engineers (IEEE), 2015)Günümüz teknolojisinde bilgisayar destekli tespit uygulamaları tıp alanına büyük katkılar sa˘glamayı ba¸sarmı¸stır. Bu çalı¸smada, beyin manyetik rezonans görüntülerindeki tümörlerin tespiti gerçekle¸stirilmi¸stir. ... -
A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
(Elsevier, 2018)Traditional methods of generating timetables may yield high-quality solutions, but they may not yield robust solutions that may easily be adapted to changing inputs. Incorporating late changes by making minimum modifications ... -
A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
(Patat, 2016)Traditional methods of generating timetables may not yield robust solutions that may easily be adapted to changing inputs. Incorporating late changes by making minimum modifications is an important need in many ... -
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
(Springer, 2022)In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods of professors or rooms, render the timetable infeasible, requiring the administrators to repair ... -
Bi-Criteria Simulated Annealing Algorithms for the Robust University Course Timetabling Problem
(PATAT, 2018)A bi-criteria version of the curriculum-based university timetabling problem of ITC-2007 is solved using a multi-objective simulated annealing (MOSA) algorithm that identifies an approximation to the optimal Pareto front. ... -
A Bioinspired Discrete Heuristic Algorithm to Generate the Eeffective Structural Model of a Program Source Code
(Elsevier, 2023)When the source code of a software is the only product available, program understanding has a substantial influence on software maintenance costs. The main goal in code comprehension is to extract information that is ... -
A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm
(MDPI, 2024)The process of software development is incomplete without software testing. Software testing expenses account for almost half of all development expenses. The automation of the testing process is seen to be a technique ... -
Chaotic Sand Cat Swarm Optimization
(MDPI, 2023)In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently ... -
Classification of Covid-19 X-ray Images Using Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR)
(Institute of Electrical and Electronics Engineers Inc., 2021)Medical images are crucial data sources for diseases that can not be diagnosed easily. X-rays, one of the medical images, have high resolution. Processing high-resolution images leads to a few problems such as difficulties ... -
Classification of Fruit Images as Fresh and Rotten Using Convolutional Neural Networks
(IEEE, 2023)Many fruits are produced all over the world, and the fruits produced are sent abroad and sold in a relatively short time in many countries. During the period between collection and sale, the fruits may undergo various types ... -
Classification of Lung Nodules Using Textural Features
(Institute of Electrical and Electronics Engineers (IEEE), 2019)In this study, a computer-aided detection system was developed for detection and investigation of lung nodules in computed tomography images using image processing techniques. The computer aided detection system consists ...